Empowering anomaly detection algorithm: a review
Detecting anomalies in a data stream relevant to domains like intrusion detection, fraud detection, security in sensor networks, or event detection in internet of things (IoT) environments is a growing field of research. For instance, the use of surveillance cameras installed everywhere that is usua...
Published in: | IAES International Journal of Artificial Intelligence |
---|---|
Main Author: | Basheer M.Y.I.; Ali A.M.; Osman R.; Hamid N.H.A.; Nordin S.; Ariffin M.A.M.; Martínez J.A.I. |
Format: | Review |
Language: | English |
Published: |
Institute of Advanced Engineering and Science
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178327053&doi=10.11591%2fijai.v13.i1.pp9-22&partnerID=40&md5=6682a8caed16d044430a5055148f273a |
Similar Items
-
Detecting Flood in Real-Time Weather Data Using Anomaly Detection Algorithm
by: Basheer M.Y.I.; Ali A.M.; Hamid N.H.A.; Osman R.; Nordin S.; Ariffin M.A.M.
Published: (2023) -
Autonomous anomaly detection for streaming data
by: Iqbal Basheer M.Y.; Mohd Ali A.; Abdul Hamid N.H.; Mohd Ariffin M.A.; Osman R.; Nordin S.; Gu X.
Published: (2024) -
Autonomous anomaly detection for streaming data
by: Basheer, et al.
Published: (2024) -
Predictive analytics of university student intake using supervised methods
by: Basheer M.Y.I.; Mutalib S.; Hamid N.H.A.; Abdul-Rahman S.; Malik A.M.A.
Published: (2019) -
Big data in real time to detect anomalies
by: Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
Published: (2024)